Big Data & AI Paris
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About this event
Big Data & AI Paris
Big Data & AI Paris is a flagship event in France dedicated to data, artificial intelligence, and analytics for business organizations. It positions itself as “the meeting point for IT & Data decision-makers who industrialize AI,” with a strong focus on real-world deployment across organizations—moving from strategy to implementation.
The event will take place on 15 and 16 September 2026 at Paris Expo Porte de Versailles in Paris, France.
Why visit
Big Data & AI Paris brings together the data and AI community to share best practices, compare practical feedback and lessons learned, build long-lasting relationships, and identify solutions that maximize the impact of data and AI within organizations.
The 2026 edition is described as re-centered on enterprise decision-makers, with clear goals designed to increase business relevance and improve the quality of meetings. The organizers emphasize initiatives such as:
- Doubling the number of qualified visitors from large organizations
- Increasing the size of delegations from major accounts by a factor of 2 to 3
- Providing a prioritized business access route to encourage high-value exchanges
- Implementing qualitative filtering to ensure profile relevance
Conference program, workshops & matchmaking
The event includes a full program featuring conferences, workshops, and startup pitches. It also includes dedicated formats that support targeted engagement, including matchmaking and networking opportunities designed to connect participants with the right decision-makers, experts, and partners.
The organizers highlight a business-oriented narrative that follows an AI industrialization journey: CDO → CTO → Head of Data → Data Platform → AI/ML → Governance. This structure reflects the event’s intent to bring together roles across the entire value chain, from foundations and platforms to governance and business deployment.
Expo & sponsors
Alongside the program content, Big Data & AI Paris hosts an exhibition featuring exhibitors and sponsors. The event is positioned as an ecosystem where enterprise leaders, international technology providers, pure players, and fast-moving scale-ups—including innovative startups— meet to explore solutions for data and AI transformation.
The event includes a Village Advanced Computing, an exhibitor area, and additional onsite opportunities such as demo sessions and startup pitch formats.
Scale and participation
According to the official event information:
- 15,000 participants
- 200 exhibitors and sponsors
- 350 conferences & workshops
Targeted audience and decision-maker positioning
Big Data & AI Paris is explicitly designed as a meeting for leaders and decision-makers within the enterprise data and AI landscape. In 2026, the “pivot” described by the organizers focuses on maximizing business opportunities and the quality of interactions through qualification of attendees and prioritized access for enterprise visitors.
The event’s advisory framework further underlines its enterprise-oriented orientation, with the program guided by an advisory board composed of decision-makers and experts from major organizations across France. Examples named on the official page include leadership roles connected to data and AI transformation.
High-level summary
Big Data & AI Paris (15–16 September 2026, Paris Expo Porte de Versailles, Paris, France) combines conferences, workshops, and an expo to connect enterprise-focused IT and data decision-makers with solutions and partners for industrial AI and real deployment outcomes.
The event’s core promise is to help participants move from governance and platforms to AI/ML deployment and measurable business impact—supported by a matchmaking approach intended to drive actionable meetings.
Data sheet
| Event Name | Big Data & AI Paris |
| Event Date | 15–16 September 2026 |
| Event Status | Upcoming |
| Venue | Paris Expo Porte de Versailles |
| City | Paris |
| State / Region | Île-de-France |
| Country | France |
| Organizer | RX |
| Official Event Website | bigdataparis.com |
| Event Type | B2B conference, exhibition, workshops, and matchmaking event |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Business Services; Science & Research |
| Audience Reach | National with international enterprise and vendor participation |
| Estimated Attendance / Expected Footfall | 15,000 participants (organizer stated) |
| Attendance Data Reliability | Confirmed by organizer on official website |
| Main Purpose of Event | To connect IT and data decision-makers with data, AI, analytics, cloud, governance, and industrialization solutions through conferences, workshops, exhibits, and qualified matchmaking. |
Big Data & AI Paris is one of France’s flagship business events for data, artificial intelligence, and analytics. The official positioning emphasizes decision-makers who are industrializing AI, with content and exhibits focused on enterprise-grade use cases, technology deployment, governance, and measurable business value.
The event matters because it brings together senior IT, data, AI, and business leaders who influence strategy, budgets, vendor selection, and transformation roadmaps. For suppliers, it is a high-value environment for enterprise lead generation, partner development, solution education, and account-based outreach across the data and AI stack.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Enterprise data leadership | Large corporates, multinationals, regulated enterprises | Owns data strategy, platform direction, and vendor evaluation | Primary audience for analytics, AI platforms, governance, and modernization offerings |
| IT infrastructure and architecture teams | Enterprises, digital-native firms, public sector IT units | Influences platform selection, integrations, security, and scalability | Strong fit for cloud, data engineering, MLOps, storage, and observability suppliers |
| AI / ML and data science teams | Innovation groups, product teams, R&D, analytics centers of excellence | Tests models, evaluates tooling, and defines use cases | Relevant for AI platforms, model management, data quality, and experimentation tools |
| Business and transformation leaders | Operations, customer experience, finance, supply chain, strategy | Sponsors use cases, approves business value, and drives adoption | Relevant for AI use-case vendors, workflow automation, and analytics consultancies |
| Data governance, risk, and compliance teams | Regulated industries, enterprise risk offices, legal/compliance teams | Controls data policy, privacy, quality, and AI governance | Relevant for governance, privacy, catalog, lineage, and audit solution providers |
| Procurement and sourcing teams | Enterprise procurement, strategic sourcing, vendor management | Negotiates contracts and manages technology supplier selection | Important for deal qualification and account-based follow-up |
| Solution partners and consultants | System integrators, advisory firms, implementation partners | Influences buyer recommendations and implementation pathways | Valuable for channel development, referral partnerships, and co-selling |
| Startups, scale-ups, and innovation scouts | New technology vendors, venture-backed firms, innovation hubs | Seeks pilots, partnerships, and distribution opportunities | Useful for ecosystem building and early-stage pipeline generation |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city: Paris | High | High | Strong concentration of enterprise HQs, digital teams, consultancies, and public institutions |
| Host region: Île-de-France | High | High | Largest nearby corporate and public-sector buyer pool in France |
| Nearby business hubs in France | Moderate to high | High | Lyon, Lille, Toulouse, Nantes, Marseille, Lille, and Grenoble are relevant for tech and industrial buyers |
| National reach: France | High | High | Event positioning explicitly targets decision-makers across French enterprises |
| International reach: Europe and global vendors | Moderate | Moderate to high | Strong brand visibility for global AI/data suppliers, cloud providers, and consultants |
| Trade corridor: EU enterprise technology market | Moderate | Moderate | Relevant for multinational buyers operating across France, Benelux, DACH, and Southern Europe |
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Secondary global reach | The event is anchored in France but attracts international technology suppliers, partners, and enterprise buyers. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| AXA France | Enterprise insurer | Large-scale data, governance, AI, and risk analytics needs; named on 2026 advisory board | axa.fr | Chief Data Officer, Chief Data & AI Officer, Head of Data, AI Governance Lead | Confirmed Current-Year Participant |
| L’Oréal | Global consumer goods / beauty enterprise | Enterprise AI for personalization, supply chain, marketing analytics, and innovation; named on 2026 advisory board | loreal.com | Group Data Lead, AI Transformation Lead, CIO, Data Platform Director | Confirmed Current-Year Participant |
| SUEZ | Utilities / environmental services | Asset-heavy operations, analytics, and data governance use cases; named on 2026 advisory board | suez.com | Chief Data Officer, Operations Analytics Director, Data Governance Manager | Confirmed Current-Year Participant |
| Crédit Agricole Group | Banking / financial services | Regulated data environments, AI governance, risk and customer analytics; named on 2026 advisory board | credit-agricole.com | CDO, Head of Analytics, CIO, Data Platform Manager | Confirmed Current-Year Participant |
| University Paris-Saclay | Research / higher education | AI research, labs, and academic-industry collaboration; named on 2026 advisory board | universite-paris-saclay.fr | Director of Research, AI Lab Lead, Innovation Partnerships Director | Confirmed Current-Year Participant |
| HUB France IA | Industry association | AI ecosystem leadership and enterprise network access; named on 2026 advisory board | hubfranceia.fr | Director General, Partnerships Director, Community Lead | Confirmed Current-Year Participant |
| IMA | Industry association / professional body | Cross-sector executive network; named on 2026 advisory board | ima.org | Chief Strategy Officer, Partnership Lead, Program Director | Confirmed Current-Year Participant |
| AXA Group | Enterprise insurer | Enterprise-wide AI and data transformation buying center around board-level decision making | axa.com | CIO, CDO, Head of Data Science, Procurement Director | Strong Market Fit, Attendance Not Confirmed |
| BNP Paribas | Banking / financial services | Major French enterprise buyer for data platforms, analytics, and AI governance | group.bnpparibas | Head of Data, CIO, CDO, Strategic Sourcing Manager | Strong Market Fit, Attendance Not Confirmed |
| SNCF | Transportation / rail operator | Operational analytics, maintenance intelligence, and data platform demand | sncf.com | Data Platform Director, CIO, Operations Analytics Manager | Strong Market Fit, Attendance Not Confirmed |
| Orange | Telecommunications | Large-scale data, network analytics, and AI operations use cases | orange.com | CTO, Head of Data, AI Program Director | Strong Market Fit, Attendance Not Confirmed |
| Carrefour | Retail / grocery | Retail analytics, demand forecasting, pricing, and customer personalization | carrefour.com | Data & AI Director, Category Analytics Lead, Procurement Manager | Strong Market Fit, Attendance Not Confirmed |
| Airbus | Aviation & aerospace | Industrial analytics, digital engineering, and AI-enabled operations | airbus.com | CIO, Head of Data, Digital Transformation Director | Strong Market Fit, Attendance Not Confirmed |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Data Officer | Data / Strategy | C-Level | Owns enterprise data transformation and vendor strategy |
| 2 | Chief Data & AI Officer | Data / AI | C-Level | Directly accountable for AI industrialization and adoption |
| 3 | CIO / CTO | IT | C-Level | Sets platform, integration, security, and infrastructure priorities |
| 4 | Head of Data / Head of Analytics | Data / Analytics | Director / VP | Leads tooling decisions, use cases, and team roadmap |
| 5 | Data Platform Director | IT / Data Engineering | Director | Owns the technical stack and platform architecture |
| 6 | AI Transformation Lead | Innovation / Transformation | Director / Senior Manager | Identifies pilot projects and scales successful initiatives |
| 7 | Data Governance Lead | Governance / Compliance | Manager / Director | Critical for catalog, lineage, privacy, and policy enforcement |
| 8 | Strategic Sourcing Manager | Procurement | Manager / Director | Evaluates software and services suppliers and commercial terms |
| 9 | Procurement Director | Procurement | Director / VP | Owns vendor selection and enterprise buying processes |
| 10 | Operations Director | Operations | Director | Buys operational analytics and process automation solutions |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core industry for data, cloud, and AI technology buyers | Enterprise software and services targeting |
| 2 | Computer Software | Many attendees will evaluate software platforms and applications | Platform, SaaS, and analytics product targeting |
| 3 | Financial Services | Highly data-intensive and regulation-heavy buyer segment | Governance, AI risk, and analytics sales motions |
| 4 | Banking | Large French and European banks are strong data/AI buyers | Enterprise account-based outreach |
| 5 | Insurance | Customer analytics, risk, and automation are major use cases | Transformation and data governance solutions |
| 6 | Retail | Retailers use AI for demand forecasting, pricing, and personalization | Customer intelligence and supply chain analytics |
| 7 | Telecommunications | Large-scale data operations and network intelligence use cases | Platform and AI operations sales |
| 8 | Consumer Goods | Brand, supply chain, and personalization use cases | Data products and enterprise AI deployments |
| 9 | Transportation/Trucking/Railroad | Operational analytics and asset optimization demand | Operational data platforms and AI use cases |
| 10 | Utilities | Critical infrastructure buyers need governance and analytics | Industrial AI, forecasting, and asset analytics |
| 11 | Higher Education | Research and innovation participation, especially AI labs | Research partnerships and innovation programs |
| 12 | Management Consulting | Advisors and system integrators often influence technology decisions | Channel and co-sell partnerships |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | 15,000 | Confirmed | Official website stated figure | Organizer-reported participant count |
| Exhibitor / sponsor count | 200 | Confirmed | Official website stated figure | Combined exhibitors and sponsors |
| Speaker / workshop count | 350 | Confirmed | Official website stated figure | Conférences & workshops |
| Buyer count | Not publicly confirmed | Unavailable | No official buyer count published | Attendance figure not publicly confirmed by the organizer for buyer-only delegation totals |
| Historical attendance | 15,000 participants | Confirmed | Official website current-year claim | Useful benchmark for list-building and lead volume planning |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Data platform modernization | Scale, performance, integration, and cost control | Executive meetings and platform demos | Cloud data platforms, ETL/ELT, lakehouse, MDM |
| AI industrialization | Move from pilots to production | Use-case workshops and implementation discussions | MLOps, model monitoring, AI orchestration |
| Data governance | Quality, lineage, privacy, and policy enforcement | Problem-solution fit conversations | Catalog, governance, privacy, compliance tooling |
| Analytics and BI | Self-service insights and business reporting | Executive dashboard and analytics demos | BI platforms, visualization, semantic layers |
| Cloud and infrastructure | Secure, scalable, cost-efficient architecture | Architecture reviews and technical meetings | Cloud services, containers, storage, cybersecurity |
| Enterprise change management | Adoption, skills, and operating model redesign | Strategy sessions and transformation workshops | Consulting, training, managed services |
| Procurement and sourcing | Commercial fit, ROI, and vendor reliability | Supplier qualification and value engineering | Pricing tools, sourcing services, vendor analytics |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | The event explicitly targets IT and data decision-makers industrializing AI. |
| Decision-maker availability | Very High | Official positioning emphasizes enterprise leaders, and the advisory board reflects senior stakeholder presence. |
| Data collection potential | High | Strong for exhibitor, sponsor, speaker, and program-based lead extraction. |
| Apollo targeting potential | Very High | Clear ICP alignment across data, IT, analytics, governance, procurement, and transformation roles. |
| Geographic targeting potential | High | Excellent for France-first outreach and broader EU enterprise targeting. |
| Best outreach approach | High-touch, account-based | Best used for targeted pre-event outreach, meeting booking, and post-event follow-up by persona. |
| Overall lead quality | Very High | A strong B2B attendee list-building event for enterprise technology, services, and advisory sellers. |
| Best use case | Pipeline generation | Suitable for sponsorship ROI, attendee list enrichment, and senior prospect outreach. |
| Limitations / risks | Medium | Public current-year attendee lists are not provided in the official text; use verified participant lists only where available. |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Financial Services; Banking; Insurance; Telecommunications; Retail; Utilities; Transportation/Trucking/Railroad; Higher Education | Target the highest-probability enterprise buyers of data and AI solutions |
| Departments | Data, IT, Engineering, Analytics, Innovation, Procurement, Operations, Strategy | Reach both technical evaluators and commercial decision-makers |
| Seniority | Manager, Director, VP, CXO | Prioritize decision-makers and budget owners |
| Job titles | Chief Data Officer, Chief Data & AI Officer, CIO, CTO, Head of Data, Director of Analytics, Data Platform Director, AI Lead, Procurement Director, Strategic Sourcing Manager | Pinpoint senior stakeholders aligned to the event’s decision-maker focus |
| Geography | France; Île-de-France; Paris; Benelux; DACH; Western Europe | Align outreach with host-market concentration and regional enterprise reach |
| Employee size | 500–10,000+ employees | Prioritize enterprise and upper mid-market buyers most likely to attend |
| Keywords | data, analytics, AI, machine learning, governance, cloud, lakehouse, MLOps, digital transformation, data platform | Filter for relevant problem statements and buying intent |
| Company type | Enterprise, multinational, public sector, research institution, system integrator | Capture both direct buyers and implementation influencers |
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| Big Data & AI Paris official website | Official organizer source | Event dates, venue, organizer, event positioning, attendance estimate, exhibitors/sponsors count, workshops count, advisory board, and matchmaking positioning | Very High |
| Paris Expo Porte de Versailles | Venue website | Venue identity and location reference in Paris | High |
| RX Global | Organizer corporate website | Organizer profile and event production context | High |
| Official site advisory board 2026 section | Official event content | Named enterprise and ecosystem organizations linked to 2026 edition | Very High |
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to Big Data & AI Paris — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.